Xiaofan Luan
Partner, VP Of Engineering at Zilliz
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolXiaofan Luan is a VP of Engineering and partner leading the development and community of Milvus, a high-performance cloud-native vector database, from the San Francisco Bay Area. With a background building massive distributed systems—including managing a 30,000+ node Hadoop/HBase fleet at Alibaba and co-initiating Lindorm—he blends deep systems engineering with product and open-source leadership. At Zilliz he oversees Milvus and related managed services like Zilliz Cloud and ETL tooling Towhee, while still contributing hands-on fixes to core components such as msgstream retry logic and memory/logging optimizations. His earlier career spans distributed storage design and RTL work on data-acceleration silicon, reflecting a rare mix of hardware-aware thinking and large-scale software practice. A Cornell MEng alumnus, he brings four years in senior leadership roles and over a decade of technical breadth to solving scalable vector search and data infrastructure challenges.
4 years of coding experience
7 years of employment as a software developer
Bachelor's degree Electrical Electronics and Communications Engineering, Bachelor's degree Electrical Electronics and Communications Engineering at Southeast UniversityMaster of Engineering (MEng) ECE, Master of Engineering (MEng) ECE at Cornell University
Github Skills (10)
retrying10
error-handling10
go10
message-queue9
concurrency9
logging9
vector-database9
architecture8
architectures8
system-design8
Programming languages (14)
Github contributions (5)
milvus-io/milvus
Jul 2021 - Jan 2023
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Role in this project:
Back-end Developer & System Engineer
Back-end Developer & System EngineerContributions:802 reviews, 225 commits, 541 PRs in 1 year 6 months
Contributions summary:Xiaofan contributed to the project by addressing and fixing retry mechanisms for message streams, specifically focusing on exponential backoff strategies within the `internal/msgstream` module. They also made improvements to the core system by refactoring logs and memory usage for specific services. Furthermore, they made updates to support the integration with external component, and updated existing test cases.
approximate-nearest-neighbor-searchfaisshnswsimilarity-searchvector
xiaofan-luan/milvus
Jul 2021 - Mar 2025
An open source vector database powered by Faiss, NMSLIB and Annoy
Contributions:1135 pushes, 372 branches in 3 years 8 months
approximate-nearest-neighbor-searchfaissvectorssimilarity-searchsentence-similarity
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.